Faculty profile
Norbert Zeh
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Dalhousie University directory, so their courses and email address may be missing. Find their university profile.
Latest papers
Supertrees Based on the Subtree Prune-and-Regraft Distance.
Systematic biology · 2014
Latest funding
- $204,000
Efficient Algorithms for Constructing Phylogenetic Networks
NSERC · 2018 · Principal investigator
- $131,416
Algorithm and systems engineering for high-performance visual text analytics on big data
NSERC · 2016 · Principal investigator
- $25,000
Crash log annotation and inference of software bugs
NSERC · 2015 · Principal investigator
1 publications.
Supertrees Based on the Subtree Prune-and-Regraft Distance.
Whidden C, Zeh N, Beiko RG
Efficient Algorithms for Constructing Phylogenetic Networks
Principal investigators: Zeh, Norbert
Algorithm and systems engineering for high-performance visual text analytics on big data
Principal investigators: Zeh, Norbert
Crash log annotation and inference of software bugs
Principal investigators: Zeh, Norbert
Algorithms and data structures for memory hierarchies
Principal investigators: Zeh, Norbert
Algorithms for Memory Hierarchies
Principal investigators: Zeh, Norbert
Keywords: CRC
Algorithms for Memory Hierarchies
Principal investigators: Zeh, Norbert
Keywords: CRC
Optimal data structures for organization and retrieval of spatial data
Principal investigators: LopezOrtiz, Alejandro
Theory and implementation of algorithms & data structures for memory hierarchies
Principal investigators: Zeh, Norbert
Canada Research Chair in Algorithms for Memory Hierarchies
Principal investigators: Zeh, Norbert
Keywords: CRC
Graph algorithms for memory hierarchies
Principal investigators: Zeh, Norbert
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.